eigenface中文是什么意思

• [网络] 特征脸；特征脸方法；本征脸

• eigenfaces    [网络] 特征脸；本征脸；特征脸方法
• eigenexcitations    [网络] 特征性发作
• eigenfeature    [网络] 本征特征
• eigenes    [网络] 类型 ; (eigene 的复数)
• eigenfeatures    [网络] 人脸的特征数据；特征头像
• eigenequations    [网络] 特征
• eigenfilter    本征滤波器
• eigenenergy    [网络] 本哲
• eigenform    [网络] 本征型
• eigenenergies    [网络] 特征能量

• Pattern recognition; attribute means clustering; learn network; binary tree; eigenface
  模式识别属性均值聚类学习网络二叉树特征脸
• Thus, the recognition performance of sparse coding is better than traditional eigenface-based methods
  稀疏编码能够增加图像特征的类间距离，因此效果要优于传统的特征脸方法。
• It introduces the history of face recognition research, especially the statistical-based methods such as the eigenface method and the fisherface method
  本文针对这两类方法的不足，提出改进的特征运动算法和标准化lda(lineardiscriminantanalysis)算法。
• Seme is analyzed and compared with eigenface, pca lda, eigenfeature, and eigenface eigenfeature through experiments . the experimental results show that seme achieves the best performance
  本征脸方法取得了如此巨大的成功，以至于成为了人脸识别算法的事实标准和相比较的基准点。
• Seme is analyzed and compared with eigenface, pca lda, eigenfeature, and eigenface eigenfeature through experiments . the experimental results show that seme achieves the best performance
  本征脸方法取得了如此巨大的成功，以至于成为了人脸识别算法的事实标准和相比较的基准点。
• A face-recognition algorithm based on fisher linear discriminant analysis is studied in detail which combines principal component analysis ( pca ) based eigenface method and linear discriminant analysis ( lda ) method
  该方法将基于主成分分析(pca)的特征脸方法和基于线性判别分析(lda)的分类方法有机的结合起来。
• The most conventional statistical-based methods include the eigenface method proposcd by turk and pentiand and fisherface method proposed by be1humeur . in this thesis, we propose the eigenmotion method and normalized lda method
  turk和pentland提出了基于主成分分析(pca)的特征脸方法和belhumeur提出的fisher脸方法就是具有代表性的基于统计的人脸识别方法。
• Face recognition based on the algebraic feature face recognition based on the algebraic feature expresses the human faces by vectors of feature too . but the vectors are algebraic feature ones . it is the projection of the human faces in the lower dimension sub-space of eigenface
  基于代数特征的人脸识别方法这类识别方法也是将人脸用特征矢量表示，但采用的是代数特征矢量：即人脸图像在由“特征脸”张成的降维子空间上的投影。
• Based on the bjpu-3d large-scale chinese face database and the correspondence between these faces by though mesh resampling, we have altered the three-dimensional shape and two-dimensional surface reflectance of the original 3d faces by making use of the average face, then we have implemented a series of experiments to measure the contributions of three-dimensional shape and two-dimensional surface reflectance to face image recognition under this change pattern . from the experiment results based on the eigenface algorithm, we concludes that the two types of information are both important for face recognition but the 3d shape is much more important than the 2d surface reflectance, this conclusion gives good suggestions and clues to the design of face recognition algorithms in future
  在本实验室建立的大规模中国人的三维人脸库和基于重采样三维人脸对齐算法的基础上,本文设计合理的实验,采用平均三维人脸来改变原始三维人脸的形状和纹理信息,系统地分析了在这种变换模式下的人脸三维形状和二维纹理对人脸图像识别的影响,在eigenface算法上的试验结果表明,形状和纹理信息对人脸识别都有很大影响,并且形状信息的影响远远大于纹理信息的影响。
• An attribute means clustering binary tree is presented in this paper . the binary tree is extends naturally and turns to be a supervised classification method . the orl database is used to evaluate the proposed method . the performance of the attribute means clustering binary tree used in face recognition is compared with the standard eigenface approach and improves their performance much in the experiment
  在无监督的属性聚类网络的基础上，提出了一种二叉树分类方法。此二叉树自然地在无监督聚类的基础上扩展开来，成为一有监督的分类方法。用orl人脸数据库做了测试，同标准的特征脸eigenface方法相比，识别率得到了较大的提高。